Resources for Minimizing Data Duplication in Company and Personnel Lists

Ed Alun-Jones · 2025-02-17 11:01:32.417202+00

Hi there, I've been looking online for good resources on minimising duplication. My situation is this, I've done a lot of work on multiple different company lists and personnel lists. I'm conscious that I've already spent Clay credits generating a huge amount of these numbers and emails and I don't want to spend to add them again. I've read through a few threads but I still couldn't quite work it out. Can you direct me to the best resources on this.

Resources for Minimizing Data Duplication in Company and Personnel Lists | Clay

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Channeled
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To minimize duplication and save credits in Clay, we recommend the following strategies: 1. Use Lookup columns to check for existing data before enriching. This helps avoid duplicate enrichments by pulling data from your CRM or other Clay tables. 2. Implement conditional runs and AI formulas to filter rows based on specific criteria. This ensures you only enrich qualified contacts, saving credits on unnecessary enrichments. 3. Utilize the Normalize and Deduplicate feature to standardize data formats and remove duplicate entries within your lists. 4. Route all data through Clay as a single, clean data warehouse before adding to your CRM. This acts as a gatekeeper to prevent duplicate data from various sources. 5. Use AI formulas for credit-free data formatting, cleaning, and reshaping, which can save hundreds or thousands of credits compared to using the AI integration for large tables. These methods will help you maintain data quality while minimizing unnecessary credit usage.
Sources: Guide: Ways to save Clay credits | Documentation | Clay University Normalize and Deduplicate a List with Clay Intro to CRM Data Enrichment [CRM Enrichment] - Clay University AI Formulas + Conditional Runs [CRM Enrichment] - Clay University
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This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.
furqan
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Hi Ed Alun-Jones, I’ve worked extensively with Clay for data enrichment and managing large datasets. To minimize duplication and save credits, you can use lookup columns to cross-check existing data before enrichment, set up conditional runs, and normalize your lists. If you need help implementing these steps, I’d be happy to guide you!

Channeled
APP
·
·
To minimize duplication and save credits in Clay, we recommend the following strategies: 1. Use Lookup columns to check for existing data before enriching. This helps avoid duplicate enrichments by pulling data from your CRM or other Clay tables. 2. Implement conditional runs and AI formulas to filter rows based on specific criteria. This ensures you only enrich qualified contacts, saving credits on unnecessary enrichments. 3. Utilize the Normalize and Deduplicate feature to standardize data formats and remove duplicate entries within your lists. 4. Route all data through Clay as a single, clean data warehouse before adding to your CRM. This acts as a gatekeeper to prevent duplicate data from various sources. 5. Use AI formulas for credit-free data formatting, cleaning, and reshaping, which can save hundreds or thousands of credits compared to using the AI integration for large tables. These methods will help you maintain data quality while minimizing unnecessary credit usage.
Sources: Guide: Ways to save Clay credits | Documentation | Clay University Normalize and Deduplicate a List with Clay Intro to CRM Data Enrichment [CRM Enrichment] - Clay University AI Formulas + Conditional Runs [CRM Enrichment] - Clay University
Channeled
APP
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Did that answer your question?
Channeled
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This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.
furqan
·
·
Hi Ed Alun-Jones, I’ve worked extensively with Clay for data enrichment and managing large datasets. To minimize duplication and save credits, you can use lookup columns to cross-check existing data before enrichment, set up conditional runs, and normalize your lists. If you need help implementing these steps, I’d be happy to guide you!